Index: doc/groups.dox
===================================================================
--- doc/groups.dox	(revision 318)
+++ doc/groups.dox	(revision 320)
@@ -41,16 +41,4 @@
 some graph features like arc/edge or node deletion.
 
-Alteration of standard containers need a very limited number of
-operations, these together satisfy the everyday requirements.
-In the case of graph structures, different operations are needed which do
-not alter the physical graph, but gives another view. If some nodes or
-arcs have to be hidden or the reverse oriented graph have to be used, then
-this is the case. It also may happen that in a flow implementation
-the residual graph can be accessed by another algorithm, or a node-set
-is to be shrunk for another algorithm.
-LEMON also provides a variety of graphs for these requirements called
-\ref graph_adaptors "graph adaptors". Adaptors cannot be used alone but only
-in conjunction with other graph representations.
-
 You are free to use the graph structure that fit your requirements
 the best, most graph algorithms and auxiliary data structures can be used
@@ -58,14 +46,4 @@
 
 <b>See also:</b> \ref graph_concepts "Graph Structure Concepts".
-*/
-
-/**
-@defgroup semi_adaptors Semi-Adaptor Classes for Graphs
-@ingroup graphs
-\brief Graph types between real graphs and graph adaptors.
-
-This group describes some graph types between real graphs and graph adaptors.
-These classes wrap graphs to give new functionality as the adaptors do it.
-On the other hand they are not light-weight structures as the adaptors.
 */
 
@@ -156,12 +134,4 @@
 
 /**
-@defgroup matrices Matrices
-@ingroup datas
-\brief Two dimensional data storages implemented in LEMON.
-
-This group describes two dimensional data storages implemented in LEMON.
-*/
-
-/**
 @defgroup paths Path Structures
 @ingroup datas
@@ -215,140 +185,4 @@
 
 /**
-@defgroup max_flow Maximum Flow Algorithms
-@ingroup algs
-\brief Algorithms for finding maximum flows.
-
-This group describes the algorithms for finding maximum flows and
-feasible circulations.
-
-The maximum flow problem is to find a flow between a single source and
-a single target that is maximum. Formally, there is a \f$G=(V,A)\f$
-directed graph, an \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity
-function and given \f$s, t \in V\f$ source and target node. The
-maximum flow is the \f$f_a\f$ solution of the next optimization problem:
-
-\f[ 0 \le f_a \le c_a \f]
-\f[ \sum_{v\in\delta^{-}(u)}f_{vu}=\sum_{v\in\delta^{+}(u)}f_{uv}
-\qquad \forall u \in V \setminus \{s,t\}\f]
-\f[ \max \sum_{v\in\delta^{+}(s)}f_{uv} - \sum_{v\in\delta^{-}(s)}f_{vu}\f]
-
-LEMON contains several algorithms for solving maximum flow problems:
-- \ref lemon::EdmondsKarp "Edmonds-Karp"
-- \ref lemon::Preflow "Goldberg's Preflow algorithm"
-- \ref lemon::DinitzSleatorTarjan "Dinitz's blocking flow algorithm with dynamic trees"
-- \ref lemon::GoldbergTarjan "Preflow algorithm with dynamic trees"
-
-In most cases the \ref lemon::Preflow "Preflow" algorithm provides the
-fastest method to compute the maximum flow. All impelementations
-provides functions to query the minimum cut, which is the dual linear
-programming problem of the maximum flow.
-*/
-
-/**
-@defgroup min_cost_flow Minimum Cost Flow Algorithms
-@ingroup algs
-
-\brief Algorithms for finding minimum cost flows and circulations.
-
-This group describes the algorithms for finding minimum cost flows and
-circulations.
-*/
-
-/**
-@defgroup min_cut Minimum Cut Algorithms
-@ingroup algs
-
-\brief Algorithms for finding minimum cut in graphs.
-
-This group describes the algorithms for finding minimum cut in graphs.
-
-The minimum cut problem is to find a non-empty and non-complete
-\f$X\f$ subset of the vertices with minimum overall capacity on
-outgoing arcs. Formally, there is \f$G=(V,A)\f$ directed graph, an
-\f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum
-cut is the \f$X\f$ solution of the next optimization problem:
-
-\f[ \min_{X \subset V, X\not\in \{\emptyset, V\}}
-\sum_{uv\in A, u\in X, v\not\in X}c_{uv}\f]
-
-LEMON contains several algorithms related to minimum cut problems:
-
-- \ref lemon::HaoOrlin "Hao-Orlin algorithm" to calculate minimum cut
-  in directed graphs
-- \ref lemon::NagamochiIbaraki "Nagamochi-Ibaraki algorithm" to
-  calculate minimum cut in undirected graphs
-- \ref lemon::GomoryHuTree "Gomory-Hu tree computation" to calculate all
-  pairs minimum cut in undirected graphs
-
-If you want to find minimum cut just between two distinict nodes,
-please see the \ref max_flow "Maximum Flow page".
-*/
-
-/**
-@defgroup graph_prop Connectivity and Other Graph Properties
-@ingroup algs
-\brief Algorithms for discovering the graph properties
-
-This group describes the algorithms for discovering the graph properties
-like connectivity, bipartiteness, euler property, simplicity etc.
-
-\image html edge_biconnected_components.png
-\image latex edge_biconnected_components.eps "bi-edge-connected components" width=\textwidth
-*/
-
-/**
-@defgroup planar Planarity Embedding and Drawing
-@ingroup algs
-\brief Algorithms for planarity checking, embedding and drawing
-
-This group describes the algorithms for planarity checking,
-embedding and drawing.
-
-\image html planar.png
-\image latex planar.eps "Plane graph" width=\textwidth
-*/
-
-/**
-@defgroup matching Matching Algorithms
-@ingroup algs
-\brief Algorithms for finding matchings in graphs and bipartite graphs.
-
-This group contains algorithm objects and functions to calculate
-matchings in graphs and bipartite graphs. The general matching problem is
-finding a subset of the arcs which does not shares common endpoints.
-
-There are several different algorithms for calculate matchings in
-graphs.  The matching problems in bipartite graphs are generally
-easier than in general graphs. The goal of the matching optimization
-can be the finding maximum cardinality, maximum weight or minimum cost
-matching. The search can be constrained to find perfect or
-maximum cardinality matching.
-
-LEMON contains the next algorithms:
-- \ref lemon::MaxBipartiteMatching "MaxBipartiteMatching" Hopcroft-Karp
-  augmenting path algorithm for calculate maximum cardinality matching in
-  bipartite graphs
-- \ref lemon::PrBipartiteMatching "PrBipartiteMatching" Push-Relabel
-  algorithm for calculate maximum cardinality matching in bipartite graphs
-- \ref lemon::MaxWeightedBipartiteMatching "MaxWeightedBipartiteMatching"
-  Successive shortest path algorithm for calculate maximum weighted matching
-  and maximum weighted bipartite matching in bipartite graph
-- \ref lemon::MinCostMaxBipartiteMatching "MinCostMaxBipartiteMatching"
-  Successive shortest path algorithm for calculate minimum cost maximum
-  matching in bipartite graph
-- \ref lemon::MaxMatching "MaxMatching" Edmond's blossom shrinking algorithm
-  for calculate maximum cardinality matching in general graph
-- \ref lemon::MaxWeightedMatching "MaxWeightedMatching" Edmond's blossom
-  shrinking algorithm for calculate maximum weighted matching in general
-  graph
-- \ref lemon::MaxWeightedPerfectMatching "MaxWeightedPerfectMatching"
-  Edmond's blossom shrinking algorithm for calculate maximum weighted
-  perfect matching in general graph
-
-\image html bipartite_matching.png
-\image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth
-*/
-
-/**
 @defgroup spantree Minimum Spanning Tree Algorithms
 @ingroup algs
@@ -359,58 +193,5 @@
 */
 
-/**
-@defgroup auxalg Auxiliary Algorithms
 @ingroup algs
-\brief Auxiliary algorithms implemented in LEMON.
-
-This group describes some algorithms implemented in LEMON
-in order to make it easier to implement complex algorithms.
-*/
-
-/**
-@defgroup approx Approximation Algorithms
-@ingroup algs
-\brief Approximation algorithms.
-
-This group describes the approximation and heuristic algorithms
-implemented in LEMON.
-*/
-
-/**
-@defgroup gen_opt_group General Optimization Tools
-\brief This group describes some general optimization frameworks
-implemented in LEMON.
-
-This group describes some general optimization frameworks
-implemented in LEMON.
-*/
-
-/**
-@defgroup lp_group Lp and Mip Solvers
-@ingroup gen_opt_group
-\brief Lp and Mip solver interfaces for LEMON.
-
-This group describes Lp and Mip solver interfaces for LEMON. The
-various LP solvers could be used in the same manner with this
-interface.
-*/
-
-/**
-@defgroup lp_utils Tools for Lp and Mip Solvers
-@ingroup lp_group
-\brief Helper tools to the Lp and Mip solvers.
-
-This group adds some helper tools to general optimization framework
-implemented in LEMON.
-*/
-
-/**
-@defgroup metah Metaheuristics
-@ingroup gen_opt_group
-\brief Metaheuristics for LEMON library.
-
-This group describes some metaheuristic optimization tools.
-*/
-
 /**
 @defgroup utils Tools and Utilities
@@ -459,6 +240,6 @@
 
 This group describes the tools for importing and exporting graphs
-and graph related data. Now it supports the \ref lgf-format
-"LEMON Graph Format", the \c DIMACS format and the encapsulated
+and graph related data. Now it supports the LEMON format
+and the encapsulated postscript (EPS) format.
 postscript (EPS) format.
 */
@@ -520,12 +301,6 @@
 */
 
-/**
-@defgroup map_concepts Map Concepts
-@ingroup concept
-\brief Skeleton and concept checking classes for maps
 
 This group describes the skeletons and concept checking classes of maps.
-*/
-
 /**
 \anchor demoprograms
@@ -539,12 +314,2 @@
 build the library.
 */
-
-/**
-@defgroup tools Standalone utility applications
-
-Some utility applications are listed here.
-
-The standard compilation procedure (<tt>./configure;make</tt>) will compile
-them, as well.
-*/
-
